Triple
T4104698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry John Heinz |
E88421
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | H. J. Heinz Company |
E364396
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: H. J. Heinz Company | Statement: [Henry John Heinz, founded, H. J. Heinz Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H. J. Heinz Company Context triple: [Henry John Heinz, founded, H. J. Heinz Company]
-
A.
Heinz
Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
-
B.
Heinz
chosen
Heinz is a historic American food processing company best known for its ketchup and other condiments.
-
C.
Campbell Soup Company
Campbell Soup Company is a major American food manufacturer best known for its canned soups and iconic red-and-white branding.
-
D.
Kraft Foods
Kraft Foods is a major American food and beverage company known for producing a wide range of packaged grocery products and iconic brands such as Kraft cheese and Oscar Mayer.
-
E.
Hormel Foods Corporation
Hormel Foods Corporation is a major American food company best known for producing branded meat and packaged food products such as SPAM.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd31bad88190b850d1dcba14de60 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576a3e75c8190ab08954220b4b89a |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:40 p.m.